Showing 15 open source projects for "neural algorithm"

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  • 1
    ncnn

    ncnn

    High-performance neural network inference framework for mobile

    ncnn is a high-performance neural network inference computing framework designed specifically for mobile platforms. It brings artificial intelligence right at your fingertips with no third-party dependencies, and speeds faster than all other known open source frameworks for mobile phone cpu. ncnn allows developers to easily deploy deep learning algorithm models to the mobile platform and create intelligent APPs. It is cross-platform and supports most commonly used CNN networks, including...
    Downloads: 43 This Week
    Last Update:
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  • 2
    nunn

    nunn

    This is an implementation of a machine learning library in C++17

    nunn is a collection of ML algorithms and related examples written in modern C++17.
    Downloads: 1 This Week
    Last Update:
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  • 3

    Parallel Neural Networks

    Neural networks in CUDA & OpenCL with back propagation algorithm

    This project is my engineering diploma. It's aim is to compare the efficiency of both technologies and to check where which hacks works better. What is more one of my tasks is to compare different ways of decomposing computations in parallel.
    Downloads: 0 This Week
    Last Update:
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  • 4
    cCNN

    cCNN

    A fast implementation of LeCun's convolutional neural network

    Code of this library is partialy based on myCNN MATLAB class written by Nikolay Chemurin.
    Downloads: 0 This Week
    Last Update:
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    OpenAIL

    OpenAIL

    Open Artificial Intelligence Library

    [Open Artificial Intelligence Library]. This library main goal is to provide a tool box to those who want to use algorithm such as neural network or genetics Algorithm and all algorithms that are commonly within the Artificial Intelligence field.
    Downloads: 0 This Week
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  • 6
    AHANNS

    AHANNS

    AHANNS - Amateur Homemade Artificial Neural Network Simulator

    AHANNS enables the user to create and train artificial neural networks. Training is carried out by an implementation of back propagation learning algorithm. See the documentation for details. This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope...
    Downloads: 0 This Week
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  • 7

    NeuralGas

    Self-organized learning

    A collection of algorithms based on the topology preserving Neural Gas algorithm for density estimation/quantization/clustering/self-organized learning. I moved this project to GitHub: https://github.com/sergioroa/neuralgas
    Downloads: 0 This Week
    Last Update:
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  • 8
    The Crystallizing Substochastic Sequential Machine Extractor, CrySSMEx, is an algorithm for extracting Finite State Machines from Recurrent Neural Networks. Input: sequential data generated from RNNs. Output: (stochastic) FSMs and state space quantizers.
    Downloads: 0 This Week
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  • 9
    An implementation of a new proposed model of smoothly spiking neural networks + a fully analytical gradient descent algorithm.
    Downloads: 0 This Week
    Last Update:
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  • 10
    Arlisy stands for artificial life synthesizer. It uses artificial neural networks and an evolutionary algorithm to simulate the process of life.
    Downloads: 0 This Week
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  • 11
    Mizore is a suite of evolutionary algorithm tools used to create and simulate artificial neural networks for solving temporally expressed problems.
    Downloads: 0 This Week
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  • 12

    GENet

    A genetic algorithm framework for artificial neural networks.

    A genetic algorithm framework to allow the evolution of synapse weights and topologies of artificial neural networks.
    Downloads: 0 This Week
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  • 13
    Integer Singular Value Decomposition Genetic Algorithm Function Fitter. This is an optimization algorithm that performs a similar role to a neural network.
    Downloads: 0 This Week
    Last Update:
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  • 14
    A Visual Studio .NET C++ application can perform machine learning using genetic algorithm, naive bayes, KNN, and Artificial Neural Networks (ANNs) read and processed from any standard ARFF.
    Downloads: 0 This Week
    Last Update:
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  • 15
    a distributed engine for abstract neural network development via natural-language programming
    Downloads: 0 This Week
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